Marketing agencies use artificial intelligence to analyze data and automate workflows

CourtAvenue leaders shared a three-part AI framework to help agencies analyze data, speed up content, and automate tasks. The goal is driving growth, not just cutting costs.

Categorized in: AI News Marketing
Published on: Jun 17, 2026
Marketing agencies use artificial intelligence to analyze data and automate workflows

Marketing agencies are under pressure to deliver more with smaller budgets, while consumers accustomed to AI-driven personalization expect highly tailored experiences from every brand they encounter. At the University of Cincinnati's 1819 Innovation Hub in May, the Future of Commerce: AI+Robotics Summit 2026 brought together industry leaders to examine how artificial intelligence is changing the way agencies plan campaigns, create content, and scale their operations.

Michael Stich, a Cincinnati-based partner at branding agency CourtAvenue, and Maggie Hooper, the firm's associate director of strategy, led a session titled "Decoding LLMs for Commerce." They laid out a three-part framework for responsible AI for Marketing adoption: seeing more clearly, moving faster, and scaling smarter.

See more clearly with data and competitive intelligence

AI tools can analyze massive datasets in minutes - work that once took days or weeks. Stich pointed to two immediate applications: building a centralized data lake and automating competitive research. A data lake serves as a repository for structured and unstructured information, giving teams a single source of truth for decision-making.

"When did my competitor launch a product? When did they change their price?" Stich asked. "I need one place to look, and AI can help me work through that intelligence piece." Beyond collection, brands can deploy AI to surface patterns and suggest next steps for campaigns, turning raw data into actionable strategy.

Move faster on content and customer support

AI accelerates content production across formats - web copy, video scripts, social media posts - but the speakers stressed that human judgment remains essential. Marketers act as prompt engineers, shaping outputs with brand context, messaging, and creative direction. "We like humans in the [content] loop in the middle," Stich said. "But we do see opportunities to think about faster ideation and faster versioning, and there are a lot of tools out there to help."

Effective Prompt Engineering determines whether AI-generated content resonates or falls flat. The same logic applies to customer service, where chatbots can field routine inquiries and free up staff for complex problems that require human attention.

Scale smarter through automated operations

At growing firms, project management eats up hours - tracking workflows, syncing calendars, recapping meetings. Stich described these tasks as "half the battle," especially for larger organizations where coordination overhead compounds. AI can handle much of this administrative load.

"Can you recap my meeting? Can you tell me what my action items are? Can you coordinate my internal calendars?" Stich said. Financial analysis also benefits: AI can pull statements and generate forecasts to support investment decisions, though final calls stay with human decision-makers.

Why this matters for marketers

Hooper framed the core challenge plainly: "making [AI] work to not just improve day-to-day efficiency, but to solve for real, tangible growth." The summit highlighted Cincinnati's role as a testing ground - home to Procter & Gamble, Kroger, and Fifth Third Bank, all with a physical presence at the 1819 Innovation Hub. For marketers, the takeaway is specific. AI's value isn't automation alone. It's the ability to spot growth opportunities buried in data and act on them before competitors do. Teams that treat AI as an insight engine rather than a cost-cutting tool will set the pace.


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